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PolyWeather/frontend/components/dashboard/opportunity-ai-meta.ts
T
2569718930@qq.com 2b1d7c0b65 Improve dashboard maintainability before the next release
The dashboard had several oversized orchestration, component, and CSS files that made product-copy changes and mobile/performance work risky. This refactor preserves behavior while splitting scan terminal CSS, opportunity helpers, future forecast panels, history/detail charts, and probability/model sections into smaller ownership boundaries.

Constraint: No user-visible version bump because this batch is architecture and performance cleanup, not a release announcement.

Rejected: Rewrite dashboard state management in the same batch | too broad for a safe upload after CSS and component splitting.

Confidence: high

Scope-risk: moderate

Reversibility: clean

Directive: Keep new component/CSS boundaries instead of moving product copy back into the large dashboard files.

Tested: npm run build; npm run test:business; git diff --check

Not-tested: Browser visual smoke test after push
2026-04-28 20:19:17 +08:00

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6.9 KiB
TypeScript
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import type { ScanOpportunityRow } from "@/lib/dashboard-types";
import { formatQuoteCents } from "./opportunity-format";
import { getLocalizedRowText } from "./opportunity-copy";
import { getModelSourceSummary } from "./opportunity-model-summary";
export function getOpportunityStrength(edgePercent?: number | null, locale = "zh-CN") {
const edge = Number(edgePercent);
const normalized = Number.isFinite(edge) ? edge : 0;
if (normalized >= 20) {
return {
label: locale === "en-US" ? "High confidence" : "高胜率",
tone: "strong",
};
}
if (normalized >= 10) {
return {
label: locale === "en-US" ? "Medium confidence" : "中等胜率",
tone: "medium",
};
}
return {
label: locale === "en-US" ? "Watch" : "观察",
tone: "watch",
};
}
export function getShortAiConclusion(
row: ScanOpportunityRow,
locale: string,
_edgePercent?: number | null,
strengthLabel?: string,
) {
const directReason =
getLocalizedRowText(row, locale, row.ai_reason_zh, row.ai_reason_en) ||
getLocalizedRowText(
row,
locale,
row.ai_watchlist_reason_zh,
row.ai_watchlist_reason_en,
);
if (directReason) return directReason;
const cityThesis = getLocalizedRowText(
row,
locale,
row.ai_city_thesis_zh,
row.ai_city_thesis_en,
);
if (cityThesis) return cityThesis;
const modelBasis = getModelSourceSummary(row, locale, row.target_unit || row.temp_symbol);
if (locale === "en-US") {
return `${strengthLabel || "Watch"}: AI should validate against ${modelBasis}.`;
}
return `${strengthLabel || "观察"}AI 需结合${modelBasis}确认。`;
}
export function getRiskHints(
row: ScanOpportunityRow,
locale: string,
modelProbability?: number | null,
) {
const hints: string[] = [];
const spread = Number(row.spread);
if (Number.isFinite(spread) && spread > 0.03) {
hints.push(
locale === "en-US"
? `Wide spread ${formatQuoteCents(spread)} may distort the displayed market price.`
: `盘口价差 ${formatQuoteCents(spread)} 偏宽,可能扭曲市场价格参考。`,
);
}
const quoteAgeSeconds =
row.quote_age_ms != null && Number.isFinite(Number(row.quote_age_ms))
? Math.round(Number(row.quote_age_ms) / 1000)
: null;
if (quoteAgeSeconds != null && quoteAgeSeconds > 60) {
hints.push(
locale === "en-US"
? `Quote age ${quoteAgeSeconds}s; refresh before acting.`
: `报价已 ${quoteAgeSeconds}s,执行前需要刷新。`,
);
}
if (row.trend_alignment === false) {
hints.push(
locale === "en-US"
? "Intraday trend does not fully support this direction."
: "日内趋势未完全支持该方向。",
);
}
if (row.cluster_adjusted) {
hints.push(
locale === "en-US"
? "Tail bucket was cluster-adjusted; bucket confidence may be overstated."
: "尾部桶已做模型集群折扣,温度桶信心可能偏乐观。",
);
}
if (modelProbability != null && modelProbability < 10) {
hints.push(
locale === "en-US"
? "Low model probability makes the setup sensitive to calibration error."
: "模型概率偏低,校准误差会显著影响判断。",
);
}
if (!hints.length) {
hints.push(
locale === "en-US"
? "Main residual risk is late observation updates or a shifted peak window."
: "主要残余风险是后续实测升温或峰值窗口漂移。",
);
}
return hints;
}
export function getRecommendationReasons(
row: ScanOpportunityRow,
locale: string,
_edgePercent?: number | null,
price?: number | null,
) {
const reasons: string[] = [];
const aiReason = getLocalizedRowText(row, locale, row.ai_reason_zh, row.ai_reason_en);
if (aiReason && String(row.ai_decision || "").toLowerCase() === "approve") {
reasons.push(aiReason);
}
const modelBasis = getModelSourceSummary(row, locale, row.target_unit || row.temp_symbol);
reasons.push(
locale === "en-US"
? `AI uses ${modelBasis} with market ask ${formatQuoteCents(price)} only as downstream bucket context.`
: `AI 以${modelBasis}为主,市场买价 ${formatQuoteCents(price)} 只作下游温度桶参考。`,
);
if (row.peak_alignment_score != null) {
reasons.push(
locale === "en-US"
? `Peak alignment score ${Number(row.peak_alignment_score).toFixed(2)} supports checking this bucket.`
: `峰值对齐分 ${Number(row.peak_alignment_score).toFixed(2)},支持把该桶纳入检查。`,
);
}
return reasons.slice(0, 3);
}
export function getExclusionReasons(
row: ScanOpportunityRow,
locale: string,
edgePercent?: number | null,
) {
const decision = String(row.ai_decision || "").toLowerCase();
const aiReason =
getLocalizedRowText(row, locale, row.ai_reason_zh, row.ai_reason_en) ||
getLocalizedRowText(
row,
locale,
row.ai_watchlist_reason_zh,
row.ai_watchlist_reason_en,
);
if (decision === "veto" || decision === "downgrade" || decision === "watchlist") {
return [
aiReason ||
(locale === "en-US"
? "AI did not classify this row as the primary forecast bucket."
: "AI 未把该合约列为主预测桶。"),
];
}
if (edgePercent != null && Number(edgePercent) < 10) {
return [
locale === "en-US"
? "This bucket is not the current forecast center."
: "该桶不是当前预测中枢。",
];
}
return [
locale === "en-US"
? "No hard veto in the current AI/rule snapshot."
: "当前 AI/规则快照没有硬性排除项。",
];
}
export function getAiMeta(row: ScanOpportunityRow, locale: string) {
const decision = String(row.ai_decision || "").toLowerCase();
if (decision === "veto") {
return {
label: locale === "en-US" ? "AI veto" : "AI 排除",
tone: "veto",
reason: locale === "en-US" ? row.ai_reason_en || row.ai_reason_zh : row.ai_reason_zh || row.ai_reason_en,
};
}
if (decision === "downgrade") {
return {
label: locale === "en-US" ? "AI downgrade" : "AI 降级",
tone: "downgrade",
reason: locale === "en-US" ? row.ai_reason_en || row.ai_reason_zh : row.ai_reason_zh || row.ai_reason_en,
};
}
if (row.ai_rank != null || decision === "approve") {
return {
label: locale === "en-US" ? `AI pick ${row.ai_rank || ""}`.trim() : `AI 推荐 ${row.ai_rank || ""}`.trim(),
tone: "approve",
reason:
(locale === "en-US" ? row.ai_reason_en || row.ai_reason_zh : row.ai_reason_zh || row.ai_reason_en) ||
row.ai_model_cluster_note ||
null,
};
}
if (decision === "watchlist") {
return {
label: locale === "en-US" ? "AI watch" : "AI 观察",
tone: "downgrade",
reason:
locale === "en-US"
? row.ai_watchlist_reason_en || row.ai_watchlist_reason_zh
: row.ai_watchlist_reason_zh || row.ai_watchlist_reason_en,
};
}
return null;
}